Qwythos 9B Developed by Empero Qwythos 9B is a full parameter reasoning model built on top of a deeply uncensored Qwen3.5 9B base and post trained on over 500 million tokens of high quality Claude Mythos and Claude Fable traces, with chain of thought generated in house by Empero AI's internal tool rethink . The result is a compact, fast, dramatically more capable 9B reasoning model. Headline capabilities: 🔭 1,048,576 token context — Qwythos ships with YaRN rope scaling enabled by default for a full 1M token context window out of the box. One of the longest context windows available in any 9B class open weight model, suitable for whole codebase reasoning, multi document research, and long agentic trajectories. 📈 Dominates the base under matched evaluation: +34 pts MMLU, +30 pts gsm8k strict, +19 pts gsm8k flex. 🛠 Native function calling per Qwen3.5's spec — no extra wrapper, no tool specific fine tune required. 🎯 Self corrects with tools — when given a Python executor and a web search tool, Qwythos produced source cited, factually correct answers on 7 of 7 test prompts spanning math, cybersecurity, clinical pharmacology, and biochemistry. Qwythos is intentionally uncensored . It…
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